How are these calculated?

Composite: each per-game stat (goals, assists, saves, shots, demos, shooting %, MVPs) is turned into a z-score vs the player's tier peers, weighted by how much it correlates with winning, summed, then shrunk toward the tier average for small samples (games / (games + 8)).

Tier dominance: that composite expressed two ways - a percentile within the tier (rank), and a margin in standard deviations above the tier average (how big an outlier). The margin is what flags genuine outliers vs. someone merely top of a tight tier.

Overall rating (0-100): the composite plus a tier-strength bonus (Premier counts most), turned into a league-wide percentile - so it's comparable across tiers, unlike tier dominance.

Projects as: re-sorting every player by overall skill into the tiers' real sizes, the tier this player would land in. Projecting up a tier (and being an outlier) = "overskilled." A model estimate.

Per-game production (percentile within Prospect)

Stat	Per game	Total	Percentile in tier
Points	236.83	1421	5th
Goals	0.17	1	8th
Assists	0.33	2	14th
Saves	1.0	6	21st
Shots	2.17	13	35th
Demos	1.0	6	59th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	236.83	#907 / 1213	#126 / 161
Goals	0.17	#919 / 1213	#123 / 161
Assists	0.33	#798 / 1213	#114 / 161
Saves	1.0	#722 / 1213	#95 / 161
Demos	1.0	#381 / 1213	#48 / 161

60% of the season is played (6 → ~10 games). Projected (this season) blends the current rate with the tier average (regression to the mean). Projected (all data) instead regresses toward the player’s own career rate (77 games across 2 past seasons). Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	Projected (all data)	80% range
Points	1421	2368	2581	2581	2531 – 2630
Goals	1	2	3	4	1 – 5
Assists	2	3	4	4	2 – 6
Saves	6	10	11	11	7 – 14
Shots	13	22	22	22	18 – 27
Demos	6	10	10	9	7 – 13
MVPs	0	0	0	0	0 – 1

From 6 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	341.0
Avg boost	49.6
Boost stolen / game	239.8
% time at 0 boost	10.7%
Avg speed (uu/s)	1450.6
% supersonic	10.6%
% time high in air	3.4%
Avg distance to ball	3190.8
% time attacking third	14.0%
Demos / game	1.0
Demos taken / game	1.8
Shooting %	5.6%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Amateur	28	0.86	0.39	1.29	340
S25	Contender	49	0.96	0.47	1.55	354
S26	Prospect	6	0.17	0.33	1.0	341

Historical analysis - data: Official · All seasons (change in the nav)

Where the 25 most similar players from 11 completed past season(s) landed for each per-game stat (median + middle-50% range). A "players like you finished here" anchor that complements the pace projection above.

Stat	This season	Comparables median	Typical range
Goals/game	0.96	0.88	0.76 – 0.92
Assists/game	0.47	0.46	0.4 – 0.5
Saves/game	1.55	1.56	1.42 – 1.65
Shots/game	2.37	2.35	2.26 – 2.5

Most similar players (across RSC history)

Nearest matches by per-game production & play-style (goals, assists, saves, shots, boost, speed, positioning, demos), standardized across 6659 player-seasons. Lower distance = more similar.

Player	Season	Tier	Goals/g	Assists/g	Saves/g	Similarity
Ezio_256	S25	Challenger	0.94	0.55	1.65	0.98
Shame	S22	Prospect	0.75	0.39	1.57	1.00
Tootie	S19	Veteran	1.12	0.5	1.75	1.02
Wheelchair {LFLegs}	S26	Challenger	0.8	0.6	1.6	1.04
ChadGPT	S20	Challenger	0.7	0.5	1.6	1.12
Modoz	S17	Rival	0.76	0.38	1.52	1.14
MeOnDisplay	S26	Prospect	0.85	0.58	1.42	1.15
DribblingPenguin	S23	Veteran	0.91	0.56	1.56	1.16
Bazzinga	S23	Rival	0.8	0.5	1.65	1.17
mogulmaniac5480	S26	Rival	1.12	0.41	1.75	1.19

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.

---

Data source: live (rscna.com) - standings & schedule refresh hourly.